This repository contains the implementation, experiments, and reproducibility materials for a deep learning project on adversarial robustness in image classification. The project studies how ...

Image model releases are driving growth for AI mobile apps, generating 6.5x more downloads than traditional model updates, according to a new report from app intelligence provider Appfigures. For ...

Deep learning techniques have been successfully applied to object classification in Synthetic Aperture Radar (SAR) images, achieving remarkable performance. However, the current Transformer ...

Abstract: Histopathology is crucial for diagnosing many diseases as early as possible, especially cancer. It involves looking at tissue samples under a microscope and checking if something is wrong.

TL;DR: Intel's Texture Set Neural Compression uses AI to drastically reduce texture memory and storage needs by up to 18 times with minimal visual quality loss. Available later this year as an SDK, it ...

Liberal CNN contributor Kara Swisher doubled down on her vow to leave her network if Paramount is successful with its bid to take over Warner Bros. Discovery. Speaking Monday at Syracuse University's ...

1 Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh. 2 Department of Computer Science and Engineering, Green University of Bangladesh, Narayanganj, Bangladesh ...

The last year has been big for Google’s AI efforts. Its rapid-fire model releases have brought it to parity with the likes of OpenAI and Anthropic and, in some cases, pushed it into the lead. The Nano ...

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...